CONTENT DETECTION SYSTEM USING BLOCKCHAIN

Authors

  • Sakshi Kokadwar HOD, Department of Electronics and Computer, P.E.S Modern College of Engineering, Pune, Maharashtra, India. Author

Keywords:

Counterfiet Product, QR Code, Blockchain

Abstract

The rise of counterfeit products within global supply chains poses substantial risks to consumer safety and brand integrity. In response, this study proposes an innovative system for detecting fake products through the integration of blockchain technology. By employing a permissioned blockchain network and smart contracts, the system establishes a secure and transparent ledger that records product-related data in an immutable and tamper-proof manner. Unique product identifiers, such as QR codes or RFID tags, are linked to blockchain entries, allowing consumers and authorized stakeholders to easily verify the authenticity and origin of a product. The decentralized nature of data storage across the blockchain network ensures resilience against tampering, providing end-to- end traceability and transparency throughout the supply chain. The suggested arrangement not only improves trust and security but also empowers consumers to make informed choices, strengthens brand protection, and contributes to the overall integrity of the global supply chain.

References

Ali, Omar, et al.” A comparative study: Blockchain technology utilization bene- fits, challenges, and functionalities.” IEEE Access 9 (2021): 12730-12749

Bhutta, Muhammad Nasir Mumtaz, et al.” A survey on blockchain technology: evolution, architecture, and security.” IEEE Access 9 (2021): 61048-61073.

Dursun, Taner, et al.” Blockchain Technology for Supply Chain Management.” Global Joint Conference on Industrial Engineering and Its Application Areas.

Springer, Cham, 2020.

Turjo, Manoshi Das, et al. ” Smart supply chain management using the blockchain and smart contract.” Scientific programming 2021.

Shreekumar, T., et al. ” Fake Product Detection Using Blockchain Technology.” JOURNAL OF ALGEBRAIC STATISTICS 13.3 (2022): 2815-2821

Tejaswini Tambe, Sonali Chitalkar, Manali Khurud, Madhavi Varpe, S. Y. Raut,” Fake Product Detection Using Blockchain Technology”, International Journal of Advance Research and Innovation ideas in Education (IJARIIE), 2021.

3rd International Conference on Siznal Processessine and Communication (ICPSC), 2021, P. Lavanya and E. Sasikala, "Deep Learning Techniques on Text Classification Using Natural Language Processing (NLP) In Social Healthcare Network: A Comprehensive Survey,"

G. Vidhya Lakshmi, Subbarao Gogulamudi, Bodapati Nagaeswari, Shaik Reehana, Blockchain Based Inventory Management by QR Code Using Open CV, International Conference on Computer Communication and Informatics (ICCCI -2021) Coimbatore, INDIA, Jan. 27 29, 2021.

B. Prabhu Shankar, Dr. R. Jayavadivel, “A Survey of Counterfeit Product Detection”, INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 8, ISSUE 12, DECEMBER 2019.

Joseph, s. i. t. (2019). Survey of data mining Algorithm’s for intelligent computing system. journal of trends in computer science and smart technology (tcsst),1(01), 14- 24.

Torbet, Georgina. “U.S. Customers Spent over $6 Billion on Black Friday Purchases.” Digital Trends, Digital Trends, 25 Nov. 2018.

A. Sinha, N. Arora, S. Singh, M. Cheema, and A. Nazir, “Fake Product Review Monitoring Using Opinion Mining,” vol. 119, no. 12, pp. 13203– 13209, 2018.

Steven Sandi, Sanja Radonjic, Jovana Drobnjak, Marko Simeunovic, Biljana Stamatovic and Tomo Popovic “Smart Tags for Brand Protection and Anti- counterfeiting in wine Industry” 23rd International Scientific-Professional Conference on Information Technology (IT), 2018.

Downloads

Published

2024-05-30

How to Cite

Sakshi Kokadwar. (2024). CONTENT DETECTION SYSTEM USING BLOCKCHAIN. INTERNATIONAL JOURNAL OF BLOCKCHAINS AND CRYPTOCURRENCIES (IJBC), 1(1), 10-18. https://mylib.in/index.php/IJBC/article/view/IJBC_01_01_002